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  • Nirav Bhatt

Nirav Bhatt

A noise mitigation approach for improving position estimate in indoor vehicle navigation using inertial measurement unit
A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer
End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning
Verification and Rectification of Error in Topology of Conserved Networks
Predicting unknown directed links of conserved networks from flow data
Human-in-the-loop for Safe and Verifiable Reinforcement Learning
Learning Mesh and Multiple Conserved Networks From Data
Online Data Analysis for Rapid Identification and Monitoring of Reaction Systems based on multi-sensor and multi-scale data
State Estimation for Non–linear Fully-implicit, Index-1 Differential Algebraic Equation Systems
Aided Selection of Sampling Methods for Imbalanced Data Classification
Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach
Learning Conserved Networks From Flows
Extraction of Pure Species Spectra from Labeled Mixture Spectral Data
Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors
A Game Theoretic Formulation of Path Selection in Urban Transportation Networks
Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data
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Founded in August 2017, with a vision to become an internationally renowned centre for data science research, where long-standing fundamental research problems, cutting across disciplines, are targeted and solved.

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